Decision Support System for Foundation Beneficiaries Using the Simple Additive Weighting (SAW) Method
Year: 2025
Type: article
Abstract: The distribution of compensation funds for underprivileged students must be based on clear and objective selection mechanisms to ensure that assistance is allocated to the most deserving recipients. A Decision Support System (DSS) provides a systematic and efficient method to support this selection process. This research utilizes the Simple Additive Weighting (SAW) method to develop a DSS that ranks students based on predefined criteria such as parents’ income, family status, number of dependents, and academic achievement. The ranking results indicate that Farhan Rifai scored the highest (0.8), followed by Sidratul Muntaha (0.7666), demonstrating the method's effectiveness in supporting fair compensation distribution.
Source: Instal Jurnal Komputer
Authors: Herpendi, Mamed Rofendy Manalu
Institution: Politeknik Negeri Tanah Laut
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410105248